Translation
Transformers
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Safetensors
Russian
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marian
text2text-generation
LiteRT
Helsinki-NLP/tatoeba
openlanguagedata/flores_plus
teradata
Instructions to use Teradata/opus-mt_tiny_rus-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teradata/opus-mt_tiny_rus-eng with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Teradata/opus-mt_tiny_rus-eng")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Teradata/opus-mt_tiny_rus-eng") model = AutoModelForSeq2SeqLM.from_pretrained("Teradata/opus-mt_tiny_rus-eng") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bad_words_ids": [ | |
| [ | |
| 32000 | |
| ] | |
| ], | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 32000, | |
| "eos_token_id": 0, | |
| "forced_eos_token_id": 0, | |
| "max_length": 512, | |
| "pad_token_id": 32000, | |
| "transformers_version": "4.57.6" | |
| } | |